Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016782195> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2016782195 endingPage "543" @default.
- W2016782195 startingPage "533" @default.
- W2016782195 abstract "In this paper we develop a model for the spatial variability of apparent electrical conductivity, ECa, of soil formed in relict patterned ground. The model is based on the continuous local trend (CLT) random processes introduced by Lark (2012b) (Geoderma, 189–190, 661–670). These models are non-Gaussian and so their parameters cannot be estimated just by fitting a variogram model. We show how a plausible CLT model, and parameters for this model, can be found by the structured use of soil knowledge about the pedogenic processes in the particular environment and the physical properties of the soil material, along with some limited descriptive statistics on the target variable. This approach is attractive to soil scientists in that it makes the geostatistical analysis of soil properties an explicitly pedological procedure, and not simply a numerical exercise. We use this approach to develop a CLT model for ECa at our target site. We then develop a test statistic which measures the extent to which soils on this site with small values of ECa, which are coarser and so more permeable, tend to be spatially connected in the landscape. When we apply this statistic to our data we get results which indicate that the CLT model is more appropriate for the variable than is a Gaussian model, even after the transformation of the data. The CLT model could be used to generate training images of soil processes to be used for computing conditional distributions of variables at unsampled sites by multiple point geostatistical algorithms." @default.
- W2016782195 created "2016-06-24" @default.
- W2016782195 creator A5024502996 @default.
- W2016782195 creator A5028634354 @default.
- W2016782195 creator A5091349068 @default.
- W2016782195 date "2014-01-01" @default.
- W2016782195 modified "2023-09-28" @default.
- W2016782195 title "A stochastic–geometric model of the variability of soil formed in Pleistocene patterned ground" @default.
- W2016782195 cites W1499512010 @default.
- W2016782195 cites W1537810918 @default.
- W2016782195 cites W1971972973 @default.
- W2016782195 cites W1972017117 @default.
- W2016782195 cites W1972103221 @default.
- W2016782195 cites W1973397550 @default.
- W2016782195 cites W1979086443 @default.
- W2016782195 cites W2015016502 @default.
- W2016782195 cites W2040371781 @default.
- W2016782195 cites W2056902548 @default.
- W2016782195 cites W2064135328 @default.
- W2016782195 cites W2077845391 @default.
- W2016782195 cites W2079321251 @default.
- W2016782195 cites W2092398270 @default.
- W2016782195 cites W2107275085 @default.
- W2016782195 cites W2110990869 @default.
- W2016782195 cites W2126146925 @default.
- W2016782195 cites W2127598723 @default.
- W2016782195 cites W2140120534 @default.
- W2016782195 cites W2162528623 @default.
- W2016782195 cites W24863145 @default.
- W2016782195 cites W2036079720 @default.
- W2016782195 doi "https://doi.org/10.1016/j.geoderma.2013.07.023" @default.
- W2016782195 hasPublicationYear "2014" @default.
- W2016782195 type Work @default.
- W2016782195 sameAs 2016782195 @default.
- W2016782195 citedByCount "0" @default.
- W2016782195 crossrefType "journal-article" @default.
- W2016782195 hasAuthorship W2016782195A5024502996 @default.
- W2016782195 hasAuthorship W2016782195A5028634354 @default.
- W2016782195 hasAuthorship W2016782195A5091349068 @default.
- W2016782195 hasBestOaLocation W20167821952 @default.
- W2016782195 hasConcept C127313418 @default.
- W2016782195 hasConcept C151730666 @default.
- W2016782195 hasConcept C159390177 @default.
- W2016782195 hasConcept C187320778 @default.
- W2016782195 hasConcept C33923547 @default.
- W2016782195 hasConcept C39432304 @default.
- W2016782195 hasConcept C53570757 @default.
- W2016782195 hasConcept C76886044 @default.
- W2016782195 hasConceptScore W2016782195C127313418 @default.
- W2016782195 hasConceptScore W2016782195C151730666 @default.
- W2016782195 hasConceptScore W2016782195C159390177 @default.
- W2016782195 hasConceptScore W2016782195C187320778 @default.
- W2016782195 hasConceptScore W2016782195C33923547 @default.
- W2016782195 hasConceptScore W2016782195C39432304 @default.
- W2016782195 hasConceptScore W2016782195C53570757 @default.
- W2016782195 hasConceptScore W2016782195C76886044 @default.
- W2016782195 hasLocation W20167821951 @default.
- W2016782195 hasLocation W20167821952 @default.
- W2016782195 hasOpenAccess W2016782195 @default.
- W2016782195 hasPrimaryLocation W20167821951 @default.
- W2016782195 hasRelatedWork W2003071285 @default.
- W2016782195 hasRelatedWork W2010719804 @default.
- W2016782195 hasRelatedWork W2038461481 @default.
- W2016782195 hasRelatedWork W2040045965 @default.
- W2016782195 hasRelatedWork W2090744395 @default.
- W2016782195 hasRelatedWork W2127178649 @default.
- W2016782195 hasRelatedWork W2390318367 @default.
- W2016782195 hasRelatedWork W2569212530 @default.
- W2016782195 hasRelatedWork W2573902994 @default.
- W2016782195 hasRelatedWork W2680822865 @default.
- W2016782195 hasVolume "213" @default.
- W2016782195 isParatext "false" @default.
- W2016782195 isRetracted "false" @default.
- W2016782195 magId "2016782195" @default.
- W2016782195 workType "article" @default.